Application of first break tomography technology in shallow loess layer detection

Authors

  • Chi Wang

DOI:

https://doi.org/10.62051/

Keywords:

Loess Overburden; First Break Forward Simulation; Tomography.

Abstract

The near-surface structure and unique physical properties of loess-covered areas render traditional geophysical methods ineffective in achieving high-precision structural detection of loess layers, thereby restricting regional resource exploration, geological hazard prevention, and optimal utilization of water resources. Focusing on the loess layers in the Qianyang area, this study aims to address the challenge of fine characterization of loess layer structures using first-break tomographic imaging technology. Firstly, the key parameters such as vertical stratification and velocity of loess layer are obtained through the investigation and analysis of geological data, and the initial geological geophysical model is constructed; Then, typical models such as horizontal surface, undulating surface and fault are designed to carry out forward simulation, analyze the influence of terrain and fault on first break propagation, and verify the applicability of first break tomography technology; Finally, the tomographic inversion of the actual data in the study area is carried out, and the comprehensive interpretation is completed by combining the seismic reflection profile. The results indicate that topographic relief causes regional shifts in first-break travel times, while faults induce first-break signal anomalies. However, first-break tomographic imaging technology can effectively mitigate these effects, enabling accurate identification of key geological interfaces such as the internal structures of individual loess layers, loess-bedrock interfaces, and concealed faults, among others. This study confirms the effectiveness of first-break tomographic imaging technology for delineating loess layer structures.

References

[1] Han L.H., Hu Z.D., Di B.R., et al. Numerical Simulation and Propagation Law of Seismic Wavefield in the Loess Plateau Area of the Ordos Basin [J]. Oil Geophysical Prospecting, 2024, 59(3): 504-513.

[2] Zheng L., Ji L.S., He Z.X., et al. Application Effect of Comprehensive Geophysical Exploration Technology in the Loess Plateau Area of the Western Ordos Basin [J]. Oil Geophysical Prospecting, 2008, (2): 229-232+128.

[3] Shen H.Y., Wang X., Li X.X. Review on Near-Surface Structure Survey and Parameter Inversion [J]. Petroleum Geophysical Prospecting, 2019, 58(4): 471-485+540.

[4] Sun P.P., Zhang M.S., Cheng X.J., et al. Occurrence Law of Geological Hazards on the Loess Plateau [J]. Journal of Mountain Science, 2019, 37(5): 737-746.

[5] Jiang Y.L., Zhang C.X., Huang X. Application of High-Density Resistivity Method in Detecting the Thickness of Overburden for Hydropower Station Site Selection [J]. Computing Techniques for Geophysical and Geochemical Exploration, 2008, (3): 235-238+171.

[6] Hu Z.Z., Shi Y.L., He Z.X., et al. Application of Transient Electromagnetic Method in Loess Layer Exploration in Western China [J]. Oil Geophysical Prospecting, 2016, 51(S1): 131-136+10.

[7] Shan B., Wang Y.H., Hou S.G. Comprehensive Application of Multi-Channel Transient Surface Wave and Natural Source Surface Wave Exploration Methods in Filled Areas [J]. Geotechnical Investigation & Surveying, 2017, 45(S2): 311-315.

[8] Zhang J.H., Wang L., Wang X.Y., et al. Application Study of Microtremor Exploration in Loess Stratigraphic Division [J]. Journal of Taiyuan University of Technology, 2025, 56(3): 567-573.

[9] Wen X.K., Liu S., Li S.Q., et al. Application of Tomography in Near-Surface Structure Survey in the Loess Plateau Area [J]. Geophysical and Geochemical Exploration, 2012, 36(5): 766-771.

[10] Wang L.H., Liang J.L., Peng L.Y. Application of First-Arrival Wave Tomography in Concealed Fault Detection [J]. CT Theory and Applications, 2015, 24(1): 29-36.

[11] Yu D., Sun Y., Lu J., et al. Parallel Algorithm of Shallow First-Arrival Wave Traveltime Tomography and Its Application in Ground Fissure Survey [J]. Geophysical and Geochemical Exploration, 2017, 41(5): 977-985.

[12] Li F.Y., Kang P., Liu Y.P., et al. First-Arrival Wave Traveltime Tomographic Inversion of Marine Towed Cable Seismic Data [J]. CT Theory and Applications, 2018, 27(2): 197-204.

[13] Zhang X.Q., Liu Z.D., Liu Y.L., et al. Near-Surface Forward Modeling and Constrained Tomographic Inversion in the Ultra-Thick Loess Plateau [J]. Computing Techniques for Geophysical and Geochemical Exploration, 2022, 44(5): 539-547.

[14] Sun M.R., Ding X., Shi C., et al. Study on Seismic Wavefield Response Characteristics of Near-Surface Concealed Faults and Application of First-Arrival Wave Imaging [J]. Geology and Exploration, 2023, 59(5): 1043-1053.

[15] Wang J.Q., Jia N., Liu C.Y., et al. Gravel Assemblage Analysis of Conglomerate in the Yijun Formation of Lower Cretaceous in the Southwestern Ordos Basin and Its Significance [J]. Acta Sedimentologica Sinica, 2011, 29(2): 226-234.

[16] Li Y.H., Gao Z.L. Characteristics, Hazards and Control of Soil and Water Loss in the Loess Plateau Area [J]. Ecological Economy, 2011, (8): 148-153.

[17] Shi P.P., Xiao A.C., Fu J.H., et al. Sedimentary Tectonic Framework and Evolution of the Ordovician Foreland Basin in the Southern Margin of the Ordos Block [J]. Acta Petrologica Sinica, 2021, 37(8): 2531-2546.

[18] Zhang Y.Q., Han M.T., Cao J.P., et al. Study on Current Crustal Deformation and Tectonic Characteristics of the Weihe Basin and Its Adjacent Areas [J]. China Earthquake Engineering Journal, 2021, 43(1): 79-89.

[19] Xi Z. Numerical Simulation and Case Study of Seismic Wavefield in the Loess Plateau Area [D]. Xi'an: Xi'an University of Science and Technology, 2010.

[20] Tan C.X., Sun W.F., Zhang C.S., et al. Study on Engineering Geological Characteristics of Drilled Cores from Typical Loess Profiles in Baoji Area [J]. Journal of Engineering Geology, 2011, 19(5): 732-748.

[21] Wang Y., Sun H.Y., Tian M.Z. Correlation and Subdivision of Loess Strata on the Loess Plateau [J]. Geological Journal of China Universities, 2015, 21(2): 346-356.

[22] Wang D.X., Du Z.D., Zhang M.B., et al. Investigation and Analysis of Geophysical Characteristics of Shallow Loess in the Ordos Basin. In: Proceedings of the 2017 China Union of Geoscience Meetings (31), 2017: 75-77.

[23] Shao G.Z., Li Y.L., Yue L. Application of Joint Exploration of Active Source and Passive Source Surface Waves in 3D Imaging of Loess-Covered Areas [J]. Geophysical and Geochemical Exploration, 2022, 46(4): 897-903.

[24] Han L.H., Sun Z.Q., Hu Z.D., et al. First-Arrival Traveltime Calculation and Characteristic Analysis of Variable-Density Unequally Spaced Grids in 3D Complex Loess Plateau Areas [J]. Chinese Journal of Geophysics, 2022, 65(8): 3108-3122.

[25] Yu J. Sedimentary Environment and Tectonic Significance of the Early Cretaceous Yijun Formation in the Southwestern Margin of the Ordos Basin [D]. Xi'an: Chang'an University, 2018.

[26] Li Q.Z. The Road to Precise Exploration. Beijing: Petroleum Industry Press, 1993: 35-38.

[27] Wu G.W., Xiong X.S., Gao R., et al. 2D First-Arrival Wave Tomography of the Upper Crust in the Southern Part of the Beishan Tectonic Belt [J]. Earth Science Frontiers, 2022, 29(2): 402-415.

[28] Wang G., Xiong X.S., Lu Z.W., et al. Shallow Crustal Structure of the Lanping Basin - Western Margin of the Yangtze Block Revealed by 2D First-Arrival Wave Tomography [J]. Acta Geoscientica Sinica, 2024, 45(6): 989-1001.

[29] Liang Y., Gu H.M., Li C., et al. Numerical Simulation of Seismic Wave Excitation and Wavefield Characteristics in the Slope Zone of the Loess Plateau [J]. Science Technology and Engineering, 2019, 19(22): 70-75.

[30] Liu C., Qiao J.W., Peng J.B., et al. Basic Characteristics and Genetic Analysis of Ground Fissures in Anren Town, Weihe Basin [J]. Journal of Engineering Geology, 2022, 30(1): 242-253.

[31] Wang Q.Y. Study on Geophysical Mapping Methods in Loess-Covered Areas [D]. Xi'an: Chang'an University, 2019.

[32] Li W.H., Wang H.Y., Gao R., et al. Study on Fine Velocity Structure of the Upper Crust in the Qinling Orogenic Belt and Its Adjacent Areas [J]. Earth Science Frontiers, 2022, 29(2): 198-209.

Downloads

Published

02-04-2026

Issue

Section

Articles

How to Cite

Wang, C. (2026). Application of first break tomography technology in shallow loess layer detection. International Journal of Natural Resources and Environmental Studies, 8(3), 64-71. https://doi.org/10.62051/